JMLR · Scour

Flexible Functional Treatment Effect Estimation

Identifying Weight-Variant Latent Causal Models

Finite Neural Networks as Mixtures of Gaussian Processes: From Provable Error Bounds to Prior Selection

Classification Under Local Differential Privacy with Model Reversal and Model Averaging

Extrapolated Markov Chain Oversampling Method for Imbalanced Text Classification

A Data-Augmented Contrastive Learning Approach to Nonparametric Density Estimation

Persistence Diagrams Estimation of Multivariate Piecewise H{\"o}lder-continuous Signals

Convergence and complexity of block majorization-minimization for constrained block-Riemannian optimization

An Anytime Algorithm for Good Arm Identification

Efficient frequent directions algorithms for approximate decomposition of matrices and higher-order tensors

Stochastic Gradient Methods: Bias, Stability and Generalization

A Reinforcement Learning Approach in Multi-Phase Second-Price Auction Design

The surrogate Gibbs-posterior of a corrected stochastic MALA: Towards uncertainty quantification for neural networks

LazyDINO: Fast, Scalable, and Efficiently Amortized Bayesian Inversion via Structure-Exploiting and Surrogate-Driven Measure Transport

Nonlocal Techniques for the Analysis of Deep ReLU Neural Network Approximations

Extending Mean-Field Variational Inference via Entropic Regularization: Theory and Computation

UQLM: A Python Package for Uncertainty Quantification in Large Language Models

The Distribution of Ridgeless Least Squares Interpolators

Optimization and Generalization of Gradient Descent for Shallow ReLU Networks with Minimal Width

Guaranteed Nonconvex Low-Rank Tensor Estimation via Scaled Gradient Descent

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